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<table width="100%" summary="page for countrypops"><tr><td>countrypops</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Yearly populations of countries from 1960 to 2017</h2>

<h3>Description</h3>

<p>A dataset that presents yearly, total populations of countries. Total
population is based on counts of all residents regardless of legal status or
citizenship. Country identifiers include the English-language country names,
and the 2- and 3-letter ISO 3166-1 country codes. Each row contains a
<code>population</code> value for a given <code>year</code> (from 1960 to 2017). Any <code>NA</code> values
for <code>populations</code> indicate the non-existence of the country during that year.
</p>


<h3>Usage</h3>

<pre>
countrypops
</pre>


<h3>Format</h3>

<p>A tibble with 12470 rows and 5 variables:
</p>

<dl>
<dt>country_name</dt><dd><p>Name of the country</p>
</dd>
<dt>country_code_2</dt><dd><p>The 2-letter ISO 3166-1 country code</p>
</dd>
<dt>country_code_3</dt><dd><p>The 3-letter ISO 3166-1 country code</p>
</dd>
<dt>year</dt><dd><p>The year for the population estimate</p>
</dd>
<dt>population</dt><dd><p>The population estimate, midway through the year</p>
</dd>
</dl>



<h3>Function ID</h3>

<p>11-1
</p>


<h3>Source</h3>

<p><a href="https://data.worldbank.org/indicator/SP.POP.TOTL">https://data.worldbank.org/indicator/SP.POP.TOTL</a>
</p>


<h3>See Also</h3>

<p>Other Datasets: 
<code>exibble</code>,
<code>gtcars</code>,
<code>pizzaplace</code>,
<code>sp500</code>,
<code>sza</code>
</p>


<h3>Examples</h3>

<pre>
# Here is a glimpse at the data
# available in `countrypops`
dplyr::glimpse(countrypops)

</pre>


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